Join us for a hands-on deep dive into UiPath Agent Builder—the low-code environment for creating, evaluating, and deploying production-grade AI agents directly within the UiPath Platform.

About This Event

Building AI agents in the enterprise isn't just about getting one to respond—it's about getting one you can trust. Agent Builder is UiPath's answer to the gap between impressive demos and production-ready AI: a structured, governed environment where agents are built with context, tested with rigor, scored for quality, and deployed with full enterprise controls in place.

In this 90-minute session, we'll go beyond the concept of "AI agents" and get into the mechanics of actually building them. We'll cover the low-code creation experience, how to extend agents with tools and grounded context, how to evaluate agent behavior before it ever touches production, and how the AI Trust Layer keeps everything auditable. We'll close with a complete live walkthrough—building a customer onboarding agent from scratch, all the way through to publishing.

This is the third session in the UiPath MVP monthly deep-dive series.

Agenda

• Why Agent Builder? — The gap between LLM experiments and enterprise-ready agents, and how Agent Builder closes it
• Low-Code Agent Creation — Building agents visually: personas, instructions, tools, and knowledge sources without writing model code
• Agent Catalog and Pre-Built Templates — Accelerating time-to-value with reusable, pre-built agents across common enterprise use cases
• Testing and Agent Score Evaluation — Running structured evaluations, interpreting Agent Score, and iterating before production deployment
• Context Grounding and the AI Trust Layer — Connecting agents to enterprise knowledge, managing hallucination risk, and maintaining audit logs with RBAC
• Deployment Options — Exposing agents via API, as a process trigger, or embedded in a larger workflow or Maestro orchestration
• Agent Builder in Action: Live Demo — Build a customer onboarding agent → add tools with context grounding → test with evaluations → review Agent Score → inspect the AI Trust Layer (audit logs, RBAC) → publish to Orchestrator
• Connecting Back to Orchestration — How agents built in Agent Builder slot into Maestro-coordinated workflows alongside robots and people
• Q&A and Key Takeaways — Resources, trial access, and preview of June's session on Maestro and Case Management

What You'll Walk Away With

• End-to-end understanding of the Agent Builder workflow from creation to deployment
• Practical knowledge of agent testing, scoring, and quality evaluation
• Clear mental model for governance, trust, and observability in production agents
• A live-built example you can replicate and adapt for your own use cases
• Foundation for June's deep dive into Maestro orchestration and Case Management
• Prerequisites
• Attendance at March and/or April sessions (or familiarity with agentic automation fundamentals)
• Basic understanding of AI agents and LLMs
• No coding experience required